The Eaton Data Engineering Apprentice role is an excellent entry-level opportunity for students and fresh graduates who want to start a career in data engineering. Eaton is hiring apprentices in Pune for a hybrid work model where candidates will learn and work on enterprise-scale data pipelines, cloud platforms, and finance data systems.
If you are searching for Data Engineering Jobs Pune, SQL Python Internship India, or Eaton Careers India, this opportunity is designed to give hands-on experience in real-world data engineering systems used in large organizations.
The role focuses on building foundational skills in data pipelines, ETL/ELT workflows, SQL, Python, and cloud data platforms while working under senior engineers. 🚀
About Eaton
Eaton is a global intelligent power management company focused on improving energy efficiency and sustainability. The company operates across multiple industries including:
- Data centers
- Industrial systems
- Aerospace and mobility
- Commercial and residential sectors
Eaton is known for building sustainable and reliable power solutions that improve efficiency and environmental impact globally.
Role Overview
The Eaton Data Engineering Apprentice position is part of the Digital Finance Data Engineering team. The role focuses on supporting enterprise-level data pipelines and learning modern data engineering practices.
Apprentices will work closely with senior engineers to understand how large-scale data systems are built, maintained, and optimized.
Job Details
| Category | Details |
|---|---|
| Role | Data Engineering Apprentice |
| Company | Eaton |
| Location | Pune, Maharashtra |
| Work Type | Hybrid |
| Domain | Digital Finance / Data Engineering |
| Experience Level | Entry Level / Fresher |
Key Responsibilities
As part of Eaton Careers India, selected candidates will:
Data Engineering Tasks
- Build and maintain data pipelines
- Ingest and transform data from multiple sources
- Support SQL and Python-based data transformations
- Perform data validation and reconciliation
- Assist in troubleshooting data issues
- Document pipelines and data structures
Learning & Development
- Learn ETL/ELT pipeline concepts
- Understand CI/CD and version control
- Follow enterprise coding standards
- Gain exposure to cloud platforms (Azure, Snowflake)
- Participate in code reviews and technical discussions
Collaboration Tasks
- Work with data engineers and analysts
- Participate in Agile ceremonies
- Attend sprint planning and reviews
- Communicate updates and issues clearly
Governance & Compliance
- Follow data security standards
- Assist in implementing audit checks
- Learn data governance practices
- Support enterprise data compliance rules
Help a friend land their next role. Share now!
Required Skills
Candidates applying for the Eaton Data Engineering Apprentice role should have strong foundational knowledge.
Technical Skills
- Basic SQL (SELECT, JOIN, aggregations)
- Python programming fundamentals
- Understanding of relational databases
- Basic data concepts (tables, keys, schemas)
- Knowledge of data pipelines (basic understanding)
Good to Have Skills
- Exposure to Azure, AWS, or GCP
- Familiarity with Snowflake
- Basic understanding of Spark or ADF
- Academic projects in data engineering
- Interest in finance or enterprise datasets
Soft Skills
- Strong analytical thinking
- Problem-solving ability
- Willingness to learn
- Team collaboration
- Good communication skills
Eligibility Criteria
| Requirement | Details |
|---|---|
| Education | UG or recent graduate |
| Field | CS, IT, Data Science, Engineering |
| Experience | Fresher / Entry Level |
| Work Mode | Hybrid |
| Skills | SQL, Python basics |
Salary / Stipend Estimate 💰
Eaton has not publicly disclosed stipend details for this apprentice role. Based on similar data engineering apprentice roles in India, the estimated compensation is:
| Role | Estimated Monthly Stipend |
|---|---|
| Data Engineering Apprentice | ₹20,000 – ₹45,000/month |
Actual compensation may vary based on skills, interview performance, and internal policy.
What You Will Learn
| Area | Skills |
|---|---|
| Data Engineering | ETL/ELT pipelines |
| Programming | Python, SQL |
| Cloud Platforms | Azure, Snowflake |
| Data Systems | Data modeling, databases |
| Dev Practices | CI/CD basics |
| Governance | Data security & compliance |
Follow us on 
LinkedIn for the latest updates
Follow us on 
Threads for the latest updates
Subscribe ▶️ YouTube Channel for Latest Updates
Who Should Apply?
You should apply if you are:
- Looking for Data Engineering Jobs Pune
- Strong in SQL and Python basics
- Interested in cloud computing
- Curious about enterprise data systems
- Want to start a career in data engineering
- Comfortable learning finance domain data
Resume Tips for Selection
To improve chances for Eaton Careers India, include:
- SQL-based projects
- Python data analysis work
- Data pipeline mini projects
- Cloud certifications (Azure/AWS/GCP)
- Kaggle projects or datasets work
- GitHub repositories
- ETL workflow understanding
Expected Selection Process
- Online Application
- Resume Screening
- SQL/Python Assessment
- Technical Interview
- Final HR Round
How to Apply
Interested candidates can apply by clicking the apply button below. Before applying, ensure your resume highlights SQL, Python, and any data-related projects.
If you have worked on dashboards, datasets, or pipelines, clearly mention them. Even academic projects can significantly improve your chances.
Final Thoughts
The Eaton Data Engineering Apprentice 2026 role in Pune is a strong opportunity for freshers who want to build a career in data engineering. With exposure to SQL, Python, cloud platforms, and enterprise data systems, this role provides excellent long-term career value.
If you meet the eligibility requirements, apply early and prepare well for technical rounds.
Important Disclaimer This job information is collected from official and publicly available sources. We do not charge any fees for job applications, do not guarantee recruitment, and do not take responsibility for any losses arising from reliance on this information.
Share the opportunity